Sai Ashish Somayajula

According to our database1, Sai Ashish Somayajula authored at least 12 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2025
DreamPRM: Domain-Reweighted Process Reward Model for Multimodal Reasoning.
CoRR, May, 2025

TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining.
Trans. Mach. Learn. Res., 2025

Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization.
Trans. Mach. Learn. Res., 2025

2024
Transformer Architecture Search for Improving Out-of-Domain Generalization in Machine Translation.
Trans. Mach. Learn. Res., 2024

Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning.
CoRR, 2024

AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Bi-level Finetuning with Task-dependent Similarity Structure for Low-resource Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A Multi-Level Optimization Framework for End-to-End Text Augmentation.
Trans. Assoc. Comput. Linguistics, 2022

2021
Improving Differentiable Architecture Search with a Generative Model.
CoRR, 2021

2020
Supervised Deep Learning for MIMO Precoding.
Proceedings of the 3rd IEEE 5G World Forum, 2020


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